The Project Manager will lead a virtual team of freelancers, including AI tutors and subject matter experts, to ensure high-quality project outcomes. They are responsible for capacity planning, onboarding pipelines, and monitoring performance to meet delivery goals.
Manage a virtual team of freelancers including AI tutors and subject matter experts to ensure high-quality project outcomes. Oversee day-to-day workforce operations, including capacity planning, forecasting, and onboarding pipelines.
You will drive the acquisition of proprietary company data and transform it into high-quality training datasets for frontier AI labs. This involves identifying data sources, negotiating access agreements, and partnering with internal teams to structure the data for AI model training.
Drive the end-to-end execution of complex Physical AI data projects from pilot to production. Orchestrate cross-functional teams and global contributor networks to meet quality, throughput, and timeline targets.
You will create and calibrate tasks to evaluate AI coding agents by building realistic virtual developer environments. This involves designing evaluation criteria, analyzing agent performance, and iterating on tests to challenge frontier AI models.
You will own the end-to-end design of B2B products, creating coherent workflows for task scoping, human-in-the-loop review, and results delivery. You will also partner with cross-functional teams to conduct UX research and translate complex AI-related constraints into intuitive design solutions.
The AI Data Project Manager will lead cross-functional delivery teams to implement client solutions while ensuring data quality and project timelines. They are responsible for managing operations, maintaining stakeholder transparency, and driving process improvements to increase organizational efficiency.
You will design, train, and deploy AI agents while managing the full ML lifecycle from research to production scaling. You will also build agentic workflows in Python and implement observability metrics to ensure system reliability.
The Head of FP&A will lead the consolidated annual budgeting, quarterly forecasting, and strategic financial reporting processes. They will also manage capacity modelling, unit economics analytics, and cashflow forecasting to support leadership decision-making.
Act as a senior technical advisor to client executives to design and implement rigorous AI data strategies. Build hands-on data-generation, labeling, and evaluation pipelines to improve the performance of Large Language Models.
Own and scale the execution of complex AI data projects, ensuring high quality, timeline adherence, and gross margin targets. Lead end-to-end delivery of LLM-powered initiatives while managing C-level stakeholders and cross-functional technical teams.
Own and scale the execution of complex AI data projects, ensuring high quality, timeline adherence, and gross margin targets. Lead end-to-end delivery of LLM-powered products while managing technical workstreams and C-level stakeholder communications.
Design and implement end-to-end AI data labeling pipelines and tailored data solutions for customers. Act as a primary technical advisor to translate client needs into actionable delivery plans and scalable AI solutions.
The role involves designing and delivering data labeling pipelines and technical solutions to meet customer needs. It also requires managing client communications and monitoring solution performance to ensure high-quality data delivery.
Design and implement end-to-end AI data labeling pipelines and tailored data solutions for customers. Act as a technical advisor to translate client needs into actionable delivery plans and manage project outcomes.
Manage the end-to-end contract lifecycle for all agreements, ensuring proper routing, execution, and repository hygiene. Draft and negotiate procurement and vendor-side agreements while identifying privacy, security, and IP risks.
